Browsing by Author "Francès, Guillem"

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  • Francès, Guillem (Universitat Pompeu Fabra, 2017-11-14)
    Classical planning is concerned with finding sequences of actions that achieve a certain goal from an initial state of the world, assuming that actions are deterministic, states are fully known, and both are described in ...
  • Francès, Guillem; Bonet, Blai; Geffner, Héctor (Association for the Advancement of Artificial Intelligence (AAAI), 2021)
    Generalized planning is concerned with the computation of general policies that solve multiple instances of a planning domain all at once. It has been recently shown that these policies can be computed in two steps: first, ...
  • Font Sola, Octavi; Francès, Guillem; Jonsson, Anders, 1973-; Bartie, Phil; Mackaness, William (Institute of Electrical and Electronics Engineers (IEEE), 2014)
    In this paper we present a novel probabilistic approach to activity recognition. Our approach is to estimate posterior probabilities of different activities using Bayes' rule. The approach can handle any type of activities ...
  • Francès, Guillem; Ramírez Jávega, Miquel; Lipovetzky, Nir; Geffner, Héctor (International Joint Conferences on Artificial Intelligence Organization (IJCAI), 2017)
    Classical planning is concerned with problems where a goal needs to be reached from a known initial state by doing actions with deterministic, known effects. Classical planners, however, deal only with classical problems ...
  • Francès, Guillem; Geffner, Héctor (IJCAI & AAAI Press, 2016)
    Existentially quantified variables in goals and action preconditions are part of the standard PDDL planning language, yet few planners support them, while those that do compile them away at an exponential cost. In this ...

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